• Pooja H. Desai
• Rushabh Shah
• Kruti Pancholi

Face recognition is not so new yet not so old technologies going on these days. Face recognition is basically used for the security purpose but here in this thesis it’s been used for the application. An ARM9 based embedded Linux system is going to be used in this report. A fast working microcontroller like S3C2440 is used as the controller. Here the main purpose of this is to make a low cost, portable, less power consuming and more reliable system that can recognize the face of human and detect it correctly. For the detection of the face GPIO camera is used and its been stored in the NAND Flash and to digitalize it Haar-like transforms are used. The captured images are going to match with the available database and then if its verified then a GSM module will send it to the server and the attendance will be taken. If the captured image is not verify with the data base then it will generate the message invalid image.

ARM9; GPIO Camera; NAND Flash; S3C2440.

"ARM9 Based Real Time Face Recognition Attendace System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 7, page no.835-837, December-2014, Available :http://www.jetir.org/papers/JETIR1407048.pdf

"ARM9 Based Real Time Face Recognition Attendace System", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 7, page no. pp835-837, December-2014, Available at : http://www.jetir.org/papers/JETIR1407048.pdf